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Define the simple events for the experiments in Exercises \(16-20 .\) The grade level of a high school student is recorded.

Short Answer

Expert verified
Answer: The simple events for the experiment are E1, E2, E3, and E4, representing grades 9, 10, 11, and 12, respectively.

Step by step solution

01

List possible grade levels

To define the simple events, we start by listing all possible grade levels a high school student may be in. These are typically grades 9, 10, 11, and 12.
02

Define the simple events

Each grade level can be considered a simple event in this experiment. We can represent these simple events as follows: - Grade 9: E1 - Grade 10: E2 - Grade 11: E3 - Grade 12: E4 So, the simple events for the experiment of recording the grade level of a high school student are E1, E2, E3, and E4, which correspond to grades 9, 10, 11, and 12, respectively.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Probability Theory
Probability theory is a branch of mathematics focused on analyzing random events. The core idea is to quantify the likelihood of various outcomes. It is built on the foundation of sets and their properties, as well as functions that assign probabilities to these sets.

When discussing probability in a high school setting, we consider events that are clearly defined outcomes of an experiment or a process. For example, flipping a coin has two possible outcomes: heads or tails. A crucial part of probability theory is understanding the different types of events—simple and compound.

A simple event is an event that cannot be broken down into more basic events. It is a single outcome of an experiment. In our textbook exercise example, the grade level of a high school student is recorded, and each grade level represents a simple event. These are mutually exclusive; a student can't be in Grade 9 and Grade 10 at the same time.
High School Statistics
High school statistics incorporates probability theory as one of its components and is concerned with collecting, analyzing, interpreting, and displaying data. Understanding the basics of probability is essential for high school students because it allows them to make sense of data and determine the likelihood of events.

For instance, in high school sports, statistics may be used to calculate the probability of a team winning a game based on past performance. By recognizing each game’s outcome as a simple event, students can apply probability concepts to real-life scenarios. When students learn to define simple events and calculate their probabilities, they are building fundamental skills that will help them in more complex statistical analyses, like determining the distribution of grades across a grade level or the average grade in a particular subject.
Probability Outcomes
Probability outcomes are the possible results of a random event. Each outcome has a probability assigned to it, which represents the chance of that outcome occurring. The probabilities of all possible outcomes in a given experiment must sum up to 1.

In our problem, the recording of a high school student's grade level, there are four distinct outcomes: E1, E2, E3, and E4. High school students can apply this concept by recognizing each of these outcomes as having a probability that can be calculated based on available data, such as the distribution of students across grade levels. Understanding simple events and their associated probabilities lays the groundwork for students to tackle more complex probability distributions and apply these principles to data analysis in their everyday lives.

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Most popular questions from this chapter

During the inaugural season of Major League Soccer in the United States, the medical teams documented 256 injuries that caused a loss of playing time to the player. The results reported in The American Journal of Sports Medicine are shown in the table. If one individual is drawn at random from this group of 256 soccer players, find the following probabilities: a. \(P(A)\) b. \(P(G)\) c. \(P(A \cap G)\) d. \(P(G \mid A)\) e. \(P(G B)\) f. \(P(G C)\) g. \(P(C \mid P)\) h. \(P\left(B^{c}\right)\)

Refer to Exercise 33. Suppose that there are six prospective jurors, four men and two women, who might be chosen for the jury. Two jurors are randomly selected from these six to fill the two remaining jury seats. a. List the simple events in the experiment (HINT: There are 15 simple events if you ignore the order of selection of the two jurors.) b. What is the probability that both impaneled jurors are women?

A football team is known to run \(30 \%\) of its plays to the left and \(70 \%\) to the right. A linebacker on an opposing team notices that, when plays go to the right, the right guard shifts his stance most of the time \((80 \%)\) and that he uses a balanced stance the remainder of the time. When plays go to the left, the guard takes a balanced stance \(90 \%\) of the time and the shift stance the remaining \(10 \%\). On a particular play, the linebacker notes that the guard takes a balanced stance. a. What is the probability that the play will go to the left? b. What is the probability that the play will go to the right? c. If you were the linebacker, which direction would you prepare to defend if you saw the balanced stance?

Use the mn Rule to find the number. There are two groups of distinctly different items, 10 in the first group and 8 in the second. If you select one item from each group, how many different pairs can you form?

Three people are randomly selected to report for jury duty. The gender of each person is noted by the county clerk. a. Define the experiment. b. List the simple events in \(S\). c. If each person is just as likely to be a man as a woman, what probability do you assign to each simple event? d. What is the probability that only one of the three is a man? e. What is the probability that all three are women?

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